A study is conducted to determine if having a peer or alumnus mentor has an impact on the academic achievement of nursing students during their first semester. Incoming nursing students are recruited and randomly assigned to one of three groups. Students in Group A (control) are not given a mentor, students in Group B are assigned a second-year nursing student as a peer mentor, and students in Group C are assigned a recent graduate as an alumnus mentor. At the end of the first semester in the nursing program, the grade point average (GPA) of each student is recorded. The researcher wants to account for differences in the natural academic abilities of the students, so the ACT score of each participant is also recorded. SPSS is used to create dummy variables for the groups. SPSS was then used to construct a regression model with dependent variable y= first-semester GPA and with independent variables x1= ACT score, x2= peer mentor and x3=alum mentor. Note that the dummy variable x2 is equal to 1 for students assigned a peer mentor and 0 otherwise; whereas, the dummy variable x3 is equal to 1 for students assigned an alum mentor and 0 otherwise. Use the SPSS output provided below to complete this problem.         Complete each of the tasks below. Clearly label your response to each part. Make sure you respond completely to each part. Write the equation of the regression model.

A researcher conducts an experiment to determine the relative effectiveness of three medications designed to control LDL cholesterol levels in female patients with moderate-to-high cholesterol levels. Patients are recruited and randomly assigned to take one of the three medications over a 6-month period. At the end of the study, the LDL cholesterol level of each patient is measured. The researcher is concerned about the impact of the overall health of the patients on their LDL cholesterol levels; therefore, the body mass index (BMI) of each patient is also recorded as a covariate. SPSS was used to conduct an analysis of covariance (all underlying assumptions were checked and found to be valid). The tables below provide a portion of the SPSS output. Use the tables (as needed) to answer this question.  Table 6A     Table 6B         Do the following: State the null and alternative hypotheses for the analysis of covariance test, make a decision about the null hypothesis, and write a conclusion statement. : The adjusted group means are equal for [1] groups.   : The adjusted group means are different for [2] groups. P = [3],   [4] the null hypothesis There is [5] evidence to conclude the adjusted group means are different for [6] groups. If appropriate, use the Bonferroni post hoc analysis to identify all pairs of adjusted treatment means that are statistically significantly different.  Which of the following groups are statistically significantly different? [7]

An observational study is conducted at a certain college to determine if students who join social clubs are more satisfied with their overall college experience. A random sample of students is selected, and each student is asked whether or not they are a member of a social club at the college. Each student is also given a satisfaction survey, and an overall satisfaction score is computed (with higher scores indicating more satisfaction). SPSS was used to create a dummy variable x for the grouping variable (with x=0 meaning the student is not a social club member and x=1 meaning the student is a social club member). Then, a regression model was constructed with this dummy variable as the independent variable and with y=overall satisfaction score as the dependent variable. Use the SPSS output provided below to complete this problem.       Complete each of the tasks below. Clearly label your response to each part. Make sure you respond completely to each part. Write the equation of the regression model. Then, use it to compute the expected satisfaction score of a student who is a social club member.

A researcher plans to conduct an analysis of covariance. To check underlying assumptions ahead of the ANCOVA, the researcher generates the following SPSS output. Graph 5A Table The matrix scatter 5A  indicates the assumption of [1] is [2]. 5B The 5B SPSS output shows the assumption of [3] is [4].  P = [5] Graph 5C The histogram in 5C demonstrates the assumption of [6] is [7] because the graph appears relatively mounded and symmetric. Table 5D        The SPSS output 5D is used to check the assumption of [8].  P = [9], this assumption [10] satisfied. Table 5E    The SPSS output Table 5E is used to check the assumption of [11].  P = [12], this assumption [13] satisfied.    

A researcher plans to conduct an analysis of covariance. The researcher generates the following matrix scatter using the data he collected.    What underlying assumption for the ANCOVA can be checked with this matrix scatter? [1] Is this assumption valid in this case? [2]  

SPSS was used to construct a multiple regression model for a data set with two independent variables (x1 and x2) and with dependent variable y. Use the partial SPSS output given below to complete this problem.                Complete each of the tasks below. Clearly label your response to each part. Make sure you respond completely to each part. Write the equation of the multiple regression model. Then, use it to compute the expected value of y when x1=20 and x2=45.

A valid repeated measures ANOVA (rANOVA) was conducted to study the relative effectiveness of three teaching methods used to help third grade students remember vocabulary words. The teaching methods were using flashcards (Method1), completing a worksheet (Method2), and watching an instructional video (Method3). Twenty students were selected, and each student took turns using each one of the three methods to help learn a set of vocabulary words (a Latin square design was used). After a student used an assigned method, he or she took a test over that particular set of vocabulary words. SPSS was used to conduct a repeated measures ANOVA to analyze the vocabulary test scores, and a portion of the SPSS output is provided in the following tables. Refer to the tables as needed to complete this problem. Table 3A    Table 3B    Table 3C   Do the following: Discuss the result of Mauchly’s Test of Sphericity and the implication for the repeated measures ANOVA. P = [1]  Condition of sphericity [2] satisfied Use [3] test State the null and alternative hypotheses for the repeated measures ANOVA test, make a decision about the null hypothesis, and write a conclusion statement. : The means are equal for [7] groups.   : The means are different for [6] groups. State the result of the repeated measures ANOVA test. P = [4] [5] the null hypothesis If appropriate, use the Bonferroni post hoc analysis to identify all pairs of treatment means that are statistically significantly different. Justify your conclusions.  There [8] a statistically significant difference between the means of 1 vs 2.  P=[9] There [10] a statistically significant difference between the means of 1 vs 3.  P=[11] There [12] a statistically significant difference between the means of 2 vs 3.  P=[13]

Based on the following diagram, match the name of the corresponding anatomical structure to each letter (1 pt each). 

A term infant is born following a pregnancy complicated by chronic maternal hypertension and evidence of reduced uteroplacental blood flow. Based on placental physiology, which neonatal assessment finding would you expect during the initial transition period?

An industry-standard dose for frozen semen is 600-800 thousand progressively motile sperm.